[go: up one dir, main page]

CN111211577B - A method for improving the operational reliability of new energy sources in regional power grids - Google Patents

A method for improving the operational reliability of new energy sources in regional power grids Download PDF

Info

Publication number
CN111211577B
CN111211577B CN201911152468.1A CN201911152468A CN111211577B CN 111211577 B CN111211577 B CN 111211577B CN 201911152468 A CN201911152468 A CN 201911152468A CN 111211577 B CN111211577 B CN 111211577B
Authority
CN
China
Prior art keywords
new energy
capacity
power grid
sensitivity
regional power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201911152468.1A
Other languages
Chinese (zh)
Other versions
CN111211577A (en
Inventor
李强
刘红岭
饶宇飞
李朝晖
杨海晶
魏寒冰
于琳琳
滕卫军
刘巍
孙鑫
王建波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing University
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
North China University of Water Resources and Electric Power
Original Assignee
Chongqing University
Electric Power Research Institute of State Grid Henan Electric Power Co Ltd
North China University of Water Resources and Electric Power
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing University, Electric Power Research Institute of State Grid Henan Electric Power Co Ltd, North China University of Water Resources and Electric Power filed Critical Chongqing University
Priority to CN201911152468.1A priority Critical patent/CN111211577B/en
Publication of CN111211577A publication Critical patent/CN111211577A/en
Application granted granted Critical
Publication of CN111211577B publication Critical patent/CN111211577B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Supply And Distribution Of Alternating Current (AREA)

Abstract

本发明公开了一种提升区域电网分区新能源运行可靠性的方法，提出了在分区模式下以系统安全约束下的电力电量平衡对新能源承载能力各指标进行灵敏性分析，在调度周期内，确定典型运行方式下的新能源并网容量、新能源资源量、系统负荷、系统旋转备用容量、断面限额、火电机组利用小时数，确定各因素合理变化区间，针对各个不同的影响新能源承载能力关键因素分别进行在其变化区间内的灵敏性计算分析，根据分析结果找出区域电网分区新能源运行中的薄弱环节并针对薄弱环节进行调整，对提高区域电网分区新能源运行的可靠性、解决调度决策者面临的实际困难具有重要的实用价值。

Figure 201911152468

The invention discloses a method for improving the operation reliability of new energy in a regional power grid, and proposes to perform sensitivity analysis on each index of the new energy carrying capacity with the balance of power and electricity under the system safety constraints in a partition mode. Determine the grid-connected capacity of new energy, the amount of new energy resources, system load, system rotating reserve capacity, section limit, and utilization hours of thermal power units under typical operation modes, determine the reasonable variation range of each factor, and determine the new energy carrying capacity according to different influences. Sensitivity calculation and analysis of key factors in their change ranges are carried out respectively. According to the analysis results, weak links in the operation of new energy in regional power grids are found out and adjustments are made to improve the reliability and solutions of new energy operation in regional power grids. The practical difficulties faced by scheduling decision makers have important practical value.

Figure 201911152468

Description

Method for improving operation reliability of new energy in regional power grid subareas
Technical Field
The invention relates to the field of power systems, in particular to a method for improving the operation reliability of new energy in regional power grid partitions.
Background
In a regional power grid with the increased proportion of new energy, the reasonable arrangement of the power grid operation mode must fully consider the bearing capacity of the power grid to the new energy, so as to ensure the safe operation of the power grid and the reliable consumption of the new energy. The core problem of the determination of the bearing capacity of the power grid is to determine the acceptance capacity of the power grid to new energy under the dual uncertainty factors of new energy output and system load based on the system rotation reserve capacity, the system section safe transmission capacity and the safe and reasonable utilization of conventional energy. Sensitivity analysis on key factors influencing the new energy bearing capacity of the regional power grid can further control the new energy bearing capacity and improve scheduling decision capability, and the sensitivity analysis has important significance on the new energy bearing capacity of the power grid, and at present, the sensitivity analysis mainly defines that: the power grid peak regulation capability and the power grid network frame adaptability; the key influence factors influencing the new energy bearing capacity of the power grid are considered: new energy output characteristic, load characteristic and outward sending channel.
Sensitivity analysis developed for the influence factors of the new energy bearing capacity of the power grid generally adopts a unilateral analysis mode for each factor: wei Lei et al published 'research on new energy receiving capability of Ningxia power system' in 'electric network technology' in 2010, and sensitively analyzes the influence on the peak regulation capacity of the system under the changes of load characteristics and outgoing channels; the research on the peak regulation capability and new energy accepting capability of the Shaanxi power grid is published in the electric power science and engineering of 2015 of Zhao Juan and the like, and the surplus of peak regulation is used as the accepting capability of new energy, so that the bearing capability under different load characteristics is sensitively analyzed; sensitivity analysis is carried out on the peak-valley difference characteristics of different loads and the new energy consumption capacity under the regulation and control of the conventional thermal power output under the peak regulation constraint and the power grid transmission constraint; in 'grid technology' of plum sea wave et al in 2015, evaluation on operation flexibility of a large-scale wind power grid-connected power system is published, and sensitivity analysis is carried out on new energy acceptance capacity and grid flexibility based on system standby capacity and conventional unit regulation capacity; penbo et al, in 2013, published 'Power grid technology' as a 'Power grid planning method initial exploration for New energy consumption', and made sensitivity analysis of New energy bearing capacity under different conveying section capacities.
In summary, the sensitivity analysis of the influence factors of the new energy bearing capacity is limited to the analysis of a single influence factor on the new energy bearing capacity of a single power grid, and cannot be comprehensively considered. The new energy bearing does not only mean that the new energy is completely accepted at all costs, but also comprehensive balance of all aspects of the bearing capacity of the system is sought, and the operation reliability of the new energy is improved.
Disclosure of Invention
In view of the above, the present invention provides a method for improving the operation reliability of new energy in a regional power grid partition, aiming at the above defects in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
1. a method for improving the operation reliability of new energy of regional power grid partitions sequentially comprises the following steps:
(1) according to the power grid aggregation model, simplifying the structure of the regional power grid to form a plurality of independent partitions;
(2) carrying out electric power electric quantity balance calculation on each subarea to obtain the bearing capacity N under the condition of electric power electric quantity balance of the subareas of the regional power gridb；
(3) Dividing scheduling period, starting from the first period of the scheduling period, and carrying out sensitivity analysis;
(4) in the current calculation period, the influence factors on the new energy bearing capacity of the regional power grid partition are as follows: the method comprises the following steps of carrying out sensitivity analysis on new energy grid-connected capacity, new energy resource quantity, power grid load, rotary reserve capacity, blocked section quota and utilization hours of a thermal power unit, and specifically comprises the following steps:
(4a) the method comprises the following steps In the current calculation period, carrying out new energy grid-connected capacity sensitivity analysis, wherein the calculation mode is as follows:
Figure BDA0002283924100000031
wherein delta1Is to consider the sensitivity, N, of the new energy under the change of the grid-connected capacitybIs the bearing capacity in a conventional operation mode, n is the number of partitions, CmaxIs the maximum possible grid-connected capacity, CbIs the new energy grid-connected capacity in the normal operation mode, TmaxIs the maximum transmission capacity, T, of each partition sectionbThe section transmission capacity of each partition in a conventional operation mode;
(4b) the method comprises the following steps In the current calculation period, carrying out sensitivity analysis on the new energy resource amount,
Figure BDA0002283924100000032
wherein, delta2Is to consider the sensitivity under the change of new energy resource quantity, NbIs the bearing capacity in a conventional operation mode, n is the number of partitions, R is the amount of new energy resources, SmaxIs the maximum spinning reserve capacity, S, of each partitionbIs the rotational reserve capacity of each partition in a conventional operating mode;
(4c) the method comprises the following steps And in the current calculation period, carrying out sensitivity analysis on regional power grid load,
Figure BDA0002283924100000033
wherein, delta3Is to consider the sensitivity under the change of regional power grid load, NbIs the bearing capacity in a conventional operation mode, n is the number of partitions, L is the regional power grid load, LbIs the load in the normal operating mode, TmaxIs the maximum transmission capacity, T, of each partition sectionbThe section transmission capacity of each partition in a conventional operation mode;
(4d) the method comprises the following steps In the current calculation period, sensitivity analysis of the rotating reserve capacity of the regional power grid is carried out,
Figure BDA0002283924100000034
wherein delta4Is to consider the sensitivity, N, of the regional power grid under the change of the reserve capacity for rotationbIs the bearing capacity in a conventional operation mode, n is the number of partitions, TmaxIs the maximum transmission capacity, T, of each partition sectionbIs the section transmission capacity of each partition in the conventional operation mode, S is the different rotation reserve capacity of each partition, SbIs the rotational reserve capacity of each partition in a conventional operating mode;
(4e) the method comprises the following steps In the current calculation period, carrying out sensitivity analysis on the blocked section quota of regional power grid transmission, wherein the calculation mode is as follows:
Figure BDA0002283924100000041
wherein delta5The bearing capacity under the limitation change of the blocked section of regional power grid transmission is considered, NbThe bearing capacity is under a conventional operation mode, n is the number of partitions, delta T is the variable quantity of the section quota of each partition, and f (delta T) is the variable quantity of the bearing capacity of the new energy after the section quota of each partition is changed;
(4f) the method comprises the following steps In the current calculation period, sensitivity analysis of the number of hours of utilization of the regional power grid thermal power generating units is carried out, the new energy bearing capacity of the regional power grid under the number of hours of utilization of each subarea thermal power generating unit is firstly calculated, and the calculation mode is as follows:
Figure BDA0002283924100000042
wherein delta6The bearing capacity N under the condition of considering the change of the utilization hours of the thermal power of the regional power gridbThe bearing capacity is under a conventional operation mode, n is the number of subareas, delta H is the variation of the utilization hours of each subarea thermal power generating unit, and f (delta H) is the variation of the bearing capacity of new energy after the utilization hours of each subarea thermal power are changed;
(4g) the method comprises the following steps And repeating the steps 4a to 4f to complete the sensitivity calculation of the influence factors of the new energy bearing capacity of the regional power grid subareas in each period of the scheduling cycle.
(5) And comparing absolute values of sensitivity calculation results of all the influencing factors in the scheduling period, wherein the larger the absolute value is, the larger the influence on the novel energy bearing capacity of the regional power grid is, the smaller the absolute value is, the smaller the influence on the novel energy bearing capacity of the regional power grid is, and the influencing factor with the maximum sensitivity absolute value is a weak link in the operation of regional power grid partition energy sources.
(6) And adjusting the value of one or more parameters in the calculation mode of the weak link with the maximum sensitivity absolute value, and reducing the sensitivity to [0,1 ].
Further, the step (2) comprises: according to the load demand prediction, the new energy output prediction, the new energy adjustable output, the conventional energy adjustable output, the partition section transmission power limit and the system rotation reserve capacity of the regional power grid, the bearing capacity N under the partition electric power and electric quantity balance of the regional power grid is obtainedbThe specific calculation steps are as follows:
(2a) under the limitation of the transmission power limit of the section of the partition in the conventional operation mode, taking the sequence of a new energy power station, a conventional energy power station and a power station serving as the rotating reserve capacity of the system as the calculation sequence of the power and electric quantity balance calculation;
(2b) calculating to obtain the new energy output N acceptable by the regional power grid by taking a successive load shedding method as a power and electric quantity balance calculation method according to a daily load graph or an excess load graph when the power station is in turn to participate in balance calculationb。
Further, the step (3) comprises: the calculation period is set as a time unit of season, month, ten days, week, or day.
The invention has the beneficial effects that:
according to the method, the regional power grid structure is simplified and processed according to a power grid aggregation model, and a plurality of independent partitions are formed. In a dispatching cycle, determining new energy grid-connected capacity, new energy resource quantity, system load, system rotation reserve capacity, section quota and thermal power unit utilization hours in a typical operation mode, determining reasonable change intervals of all factors according to dispatching operation experience, respectively performing sensitivity calculation analysis in the change intervals aiming at different key factors influencing new energy bearing capacity, finding out weak links in regional power grid partition new energy operation according to analysis results, analyzing the weak links of the system and adjusting the weak links, and has important practical value for improving the reliability of regional power grid partition new energy operation and solving the practical difficulty faced by a dispatching decision maker.
Drawings
FIG. 1 is a calculation flow chart of a sensitivity analysis method for influence factors of new energy bearing capacity of a regional power grid partition.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
1. The sensitivity analysis method for the influence factors of the new energy bearing capacity of the regional power grid partitions sequentially comprises the following steps:
(1) according to the power grid aggregation model, simplifying the structure of the regional power grid to form a plurality of independent partitions;
(2) carrying out electric power electric quantity balance calculation on each subarea to obtain the load bearing of the subarea of the regional power grid under the condition of electric power electric quantity balanceCapability NbThe calculation steps are as follows:
(2a) under the limitation of the transmission power limit of the section of the partition in the conventional operation mode, taking the sequence of a new energy power station, a conventional energy power station and a power station serving as the rotating reserve capacity of the system as the calculation sequence of the power and electric quantity balance calculation;
(2b) calculating to obtain the new energy output N acceptable by the regional power grid by taking a successive load shedding method as a power and electric quantity balance calculation method according to a daily load graph or an excess load graph when the power station is in turn to participate in balance calculationb；
(3) Dividing scheduling period time intervals, setting the calculation time intervals as time units of seasons, months, ten days, weeks or days, and carrying out sensitivity analysis from the first time interval to the end time interval of the scheduling period;
(4) in the current calculation period, the influence factors on the new energy bearing capacity of the regional power grid partition are as follows: the method comprises the following steps of carrying out sensitivity analysis on new energy grid-connected capacity, new energy resource quantity, power grid load, rotary reserve capacity, blocked section quota and utilization hours of a thermal power unit, and specifically comprises the following steps:
(4a) the method comprises the following steps In the current calculation period, carrying out new energy grid-connected capacity sensitivity analysis, wherein the calculation mode is as follows:
Figure BDA0002283924100000071
wherein delta1Is to consider the sensitivity, N, of the new energy under the change of the grid-connected capacitybIs the bearing capacity in a conventional operation mode, n is the number of partitions, CmaxIs the maximum possible grid-connected capacity, CbIs the new energy grid-connected capacity in the normal operation mode, TmaxIs the maximum transmission capacity, T, of each partition sectionbThe section transmission capacity of each partition in a conventional operation mode;
(4b) the method comprises the following steps In the current calculation period, calculating the sensitivity of the new energy resource amount, wherein the calculation mode is as follows:
under the condition of abundant resource quantity:
Figure BDA0002283924100000072
in the case of average resource amount:
Figure BDA0002283924100000073
when the resource amount is slightly low:
Figure BDA0002283924100000074
wherein, delta2Is to consider the sensitivity under the change of new energy resource quantity, NbIs the bearing capacity in a conventional operation mode, n is the number of partitions, RmaxIs a rich resource quantity, RnormalIs the average amount of resources, RlowIs a partial resource amount, RbIs the amount of resources in the normal operating mode, SmaxIs the maximum spinning reserve capacity, S, of each partitionbThe method is characterized in that the rotation reserve capacity of each partition is in a conventional operation mode, and the change of the new energy bearing capacity of a regional power grid is analyzed through the change from the new energy resource amount in the conventional operation mode to the over-abundant and over-average resource amount and the over-withered resource amount, so that the sensitivity analysis of the new energy resource amount to the bearing capacity is realized.
(4c) The method comprises the following steps In the current calculation period, the change of the new energy bearing capacity of the regional power grid under the high, medium and low load levels is calculated, and the calculation mode is as follows:
at high load levels:
Figure BDA0002283924100000081
at moderate load levels:
Figure BDA0002283924100000082
at low load level:
Figure BDA0002283924100000083
wherein, delta3Is to consider the sensitivity under the change of regional power grid load, NbIs at a constant timeThe bearing capacity under the regular operation mode, n is the number of partitions, LmaxIs a high load level, LnormalIs a medium load level, LlowIs at a low load level, LbIs the load level in the normal operating mode, TmaxIs the maximum transmission capacity, T, of each partition sectionbIs the section transmission capacity of each partition in the conventional operation mode,
(4d) the method comprises the following steps In the current calculation period, calculating the sensitivity of the rotating reserve capacity of the regional power grid, wherein the calculation mode is as follows:
Figure BDA0002283924100000084
wherein delta4Is to consider the sensitivity, N, of the regional power grid under the change of the reserve capacity for rotationbIs the bearing capacity in a conventional operation mode, n is the number of partitions, TmaxIs the maximum transmission capacity, T, of each partition sectionbIs the section transmission capacity of each partition in the conventional operation mode, S is the different rotation reserve capacity of each partition, SbIs the spinning reserve capacity of each partition in the normal operating mode.
(4e) The method comprises the following steps In the current calculation period, calculating the sensitivity of the blocked section quota of regional power grid transmission, wherein the calculation mode is as follows:
Figure BDA0002283924100000085
wherein delta5Considering the sensitivity under the limitation of the blocked section of regional power grid transmission, NbThe method is characterized in that the bearing capacity is under a conventional operation mode, n is the number of partitions, delta T is the variable quantity of the section quota of each partition, f (delta T) is the variable quantity of the new energy bearing capacity after the section quota of each partition is changed, and the change of the new energy bearing capacity of a regional power grid is analyzed from the transmission blocked section quota under the conventional operation mode to the limit quantity after the transmission blocked section is changed possibly, so that the sensitivity analysis of the transmission blocked section quota on the bearing capacity is realized.
(4f) The method comprises the following steps In the current calculation period, calculating the sensitivity of the utilization hours of the regional power grid thermal power generating unit, wherein the calculation mode is as follows:
Figure BDA0002283924100000091
wherein delta6The sensitivity under the condition of considering the change of the utilization hours of the regional power grid thermal power, NbThe bearing capacity is under a conventional operation mode, n is the number of subareas, delta H is the variation of the utilization hours of each subarea thermal power generating unit, and f (delta H) is the variation of the bearing capacity of new energy after the utilization hours of each subarea thermal power generating unit are changed.
(4g) The method comprises the following steps And repeating the steps 4a to 4f to complete the sensitivity calculation of the influence factors of the new energy bearing capacity of the regional power grid subareas in each period of the scheduling cycle.
(5) And comparing absolute values of sensitivity calculation results of all the influencing factors in the scheduling period, wherein the larger the absolute value is, the larger the influence on the novel energy bearing capacity of the regional power grid is, the smaller the absolute value is, the smaller the influence on the novel energy bearing capacity of the regional power grid is, and the influencing factor with the maximum sensitivity absolute value is a weak link in the operation of regional power grid partition energy sources.
(6) Adjusting the value of one or more parameters in the calculation mode of the weak link with the maximum sensitivity absolute value, reducing the sensitivity to [0,1], if the maximum sensitivity absolute value does not exceed 1, then no adjustment is needed, if the maximum sensitivity absolute value is greater than 1, then adjustment is needed, and the adjustment method is as follows:
if the maximum sensitivity under the new energy grid-connected capacity change is considered, optimizing and improving the control limit of the power transmission section;
if the sensitivity is maximum under the consideration of the change of the new energy resource quantity, optimizing and improving the control limit of the power transmission section;
if the sensitivity under the condition of considering the regional power grid load change is maximum, the load prediction precision is improved, and the power generation capacity of the new energy and the conventional energy unit is coordinated and optimized;
if the sensitivity of the regional power grid under the rotation reserve capacity change is considered to be maximum, the prediction accuracy of the new energy is improved, and the power generation capacity of the new energy and the power generation capacity of the conventional energy unit are coordinated and optimized;
if the sensitivity is maximum under consideration of the change of the blocked section limit of regional power grid transmission, a grid structure of the power grid is strengthened, and the control limit of the transmission section is improved;
and if the maximum sensitivity is considered under the condition that the number of hours of thermal power utilization of the regional power grid is changed, regulating and controlling the power generation capacity of the conventional energy generating unit.
Finally, the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting, and other modifications or equivalent substitutions made by the technical solutions of the present invention by those of ordinary skill in the art should be covered within the scope of the claims of the present invention as long as they do not depart from the spirit and scope of the technical solutions of the present invention.

Claims (3)

1.一种提升区域电网分区新能源运行可靠性的方法，其特征在于：依次采用下列步骤：1. a method for improving the operational reliability of new energy sources in regional power grids, is characterized in that: adopt the following steps successively: (1)依据电网聚合模型，对区域电网结构简化，形成若干独立分区；(1) According to the power grid aggregation model, the structure of the regional power grid is simplified to form several independent partitions; (2)对每个分区进行电力电量平衡计算，得出区域电网分区电力电量平衡下的承载能力Nb；(2) Carry out power and electricity balance calculation for each partition, and obtain the carrying capacity N b under the power and electricity balance of the regional power grid; (3)划分调度期时段，从调度期第一个时段开始，进行灵敏性的分析计算；(3) Divide the scheduling period, start from the first period of the scheduling period, and perform sensitivity analysis and calculation; (4)在当前计算时段，对区域电网分区新能源承载能力的各影响因素：新能源并网容量、新能源资源量、电网负荷、旋转备用容量、受阻断面限额、火力机组利用小时数进行灵敏性分析计算，具体步骤为：(4) In the current calculation period, various factors affecting the new energy carrying capacity of the regional power grid: new energy grid-connected capacity, new energy resources, power grid load, rotating reserve capacity, blocked surface limit, thermal power unit utilization hours The specific steps are as follows: (4a)：在当前计算时段，计算新能源并网容量的灵敏度，计算方式为：(4a): In the current calculation period, calculate the sensitivity of new energy grid-connected capacity, the calculation method is as follows:
Figure FDA0003491011900000011
Figure FDA0003491011900000011
 其中δ1是考虑新能源并网容量变化下的灵敏度，Nb是在常规运行方式下的承载能力，n为分区数，Cmax是最大可能并网容量，Cb是正常运行方式下的新能源并网容量，Tmax是各分区断面最大传输容量，Tb是各分区在常规运行方式下的断面传输容量；Among them, δ 1 is the sensitivity considering the change of new energy grid-connected capacity, N b is the carrying capacity under the normal operation mode, n is the number of partitions, C max is the maximum possible grid-connected capacity, and C b is the new energy in the normal operation mode. Energy grid-connected capacity, T max is the maximum transmission capacity of each partition section, T b is the section transmission capacity of each partition in the conventional operation mode; (4b)：在当前计算时段，计算新能源资源量的灵敏度，计算方式为：(4b): In the current calculation period, calculate the sensitivity of the amount of new energy resources, the calculation method is as follows:
Figure FDA0003491011900000012
Figure FDA0003491011900000012
 其中，δ2是考虑新能源资源量变化下的灵敏度，Nb是在常规运行方式下的承载能力，n为分区数，R是新能源资源量，Smax是各分区最大旋转备用容量，Sb是各分区在常规运行方式下的旋转备用容量；Among them, δ 2 is the sensitivity considering the change of the amount of new energy resources, N b is the carrying capacity under the normal operation mode, n is the number of partitions, R is the amount of new energy resources, S max is the maximum rotating reserve capacity of each partition, S b is the spinning reserve capacity of each partition in the normal operating mode; (4c)：在当前计算时段，进行区域电网负荷的灵敏度计算，计算方式为：(4c): In the current calculation period, the sensitivity calculation of the regional power grid load is carried out, and the calculation method is as follows:
Figure FDA0003491011900000021
Figure FDA0003491011900000021
 其中，δ3是考虑区域电网负荷变化下的灵敏度，Nb是在常规运行方式下的承载能力，n为分区数，L是区域电网负荷，Lb是正常运行方式下的负荷，Tmax是各分区断面最大传输容量，Tb是各分区在常规运行方式下的断面传输容量；Among them, δ 3 is the sensitivity considering the load changes of the regional power grid, N b is the carrying capacity under the normal operation mode, n is the number of partitions, L is the regional power grid load, L b is the load under the normal operation mode, and T max is The maximum transmission capacity of each partition section, T b is the section transmission capacity of each partition in the normal operation mode; (4d)：在当前计算时段，计算区域电网旋转备用容量的灵敏度，计算方式为：(4d): In the current calculation period, calculate the sensitivity of the rotating reserve capacity of the regional power grid, and the calculation method is as follows:
Figure FDA0003491011900000022
Figure FDA0003491011900000022
 其中δ4是考虑区域电网旋转备用容量变化下的灵敏度，Nb是在常规运行方式下的承载能力，n为分区数，Tmax是各分区断面最大传输容量，Tb是各分区在常规运行方式下的断面传输容量，S是各分区不同的旋转备用容量，Sb是各分区在常规运行方式下的旋转备用容量；Among them, δ 4 is the sensitivity considering the change of the rotating reserve capacity of the regional power grid, N b is the carrying capacity under the normal operation mode, n is the number of partitions, T max is the maximum transmission capacity of each partition section, and T b is the normal operation of each partition. Section transmission capacity in the mode, S is the different spinning reserve capacity of each partition, S b is the spinning reserve capacity of each partition in the normal operation mode; (4e)：在当前计算时段，计算区域电网传输受阻断面限额的灵敏度，计算方式为：(4e): In the current calculation period, calculate the sensitivity of the regional grid transmission blocked surface limit, and the calculation method is:
Figure FDA0003491011900000023
Figure FDA0003491011900000023
 其中δ5是考虑区域电网传输受阻断面限额变化下的承载能力，Nb是在常规运行方式下的承载能力，n为分区数，ΔT是各分区断面限额的变化量，f(ΔT)是各分区断面限额变化后新能源承载能力的变化量；Among them, δ 5 is the carrying capacity considering the change of the regional power grid transmission blocked surface limit, N b is the carrying capacity under the normal operation mode, n is the number of partitions, ΔT is the change of the section limit of each partition, and f(ΔT) is the The amount of change in the carrying capacity of new energy after the change of the zonal section limit; (4f)：在当前计算时段，计算区域电网火电机组利用小时数的灵敏度，计算方式为：(4f): In the current calculation period, calculate the sensitivity of the utilization hours of the regional power grid thermal power units, and the calculation method is as follows:
Figure FDA0003491011900000031
Figure FDA0003491011900000031
 其中δ6是考虑区域电网火电利用小时数变化下的承载能力，Nb是在常规运行方式下的承载能力，n为分区数，ΔH是各分区火电机组利用小时数的变化量，f(ΔH)是各分区火电利用小时变化后新能源承载能力的变化量；Among them, δ 6 is the carrying capacity considering the change of the thermal power utilization hours of the regional power grid, N b is the carrying capacity under the conventional operation mode, n is the number of partitions, ΔH is the variation of the utilization hours of thermal power units in each partition, f(ΔH ) is the change in the new energy carrying capacity after the hourly change of thermal power utilization in each district; (4g)：重复步骤4a～4f，完成调度周期内各时段的区域电网分区新能源承载能力影响因素灵敏度计算；(4g): Repeat steps 4a to 4f to complete the sensitivity calculation of the influencing factors of the new energy carrying capacity of the regional power grid partitions in each period of the dispatch period; (5)将调度周期内各影响因素灵敏度计算结果的绝对值进行比较，绝对值越大，对区域电网新型能源承载能力的影响越大，绝对值越小，对区域电网新型能源承载能力的影响越小，灵敏度绝对值最大的影响因素为区域电网分区能源运行中的薄弱环节；(5) Compare the absolute values of the sensitivity calculation results of each influencing factor in the dispatch period. The larger the absolute value, the greater the impact on the new energy carrying capacity of the regional power grid, and the smaller the absolute value, the greater the impact on the new energy carrying capacity of the regional power grid. The smaller the absolute value of the sensitivity, the weakest link in the regional grid energy operation; (6)调整灵敏度绝对值最大的薄弱环节的计算方式中一个或多个参数的值，减小灵敏度至[0,1]。(6) Adjust the value of one or more parameters in the calculation method of the weak link with the largest absolute value of sensitivity, and reduce the sensitivity to [0,1]. 2.根据权利要求1所述的一种提升区域电网分区新能源运行可靠性的方法，其特征在于，所述步骤(2)包括：根据区域电网负荷需求预测、新能源出力预测、新能源可调出力、常规能源可调出力、分区断面传输功率极限及系统旋转备用容量，得出区域电网分区电力电量平衡下的承载能力Nb,具体计算步骤为：2. A method for improving the operational reliability of new energy sources in regional power grid partitions according to claim 1, wherein the step (2) comprises: according to regional power grid load demand prediction, new energy output prediction, new energy availability The transfer capacity, the adjustable output capacity of conventional energy, the transmission power limit of the section section and the rotating reserve capacity of the system are used to obtain the carrying capacity N b under the power and electricity balance of the regional power grid. The specific calculation steps are as follows: (2a)在常规运行方式分区断面传输功率极限约束下，以新能源电站、常规能源电站、担任系统旋转备用容量的电站的先后次序作为电力电量平衡计算的计算次序；(2a) Under the constraints of the transmission power limit of the partition section in the conventional operation mode, the order of the new energy power station, the conventional energy power station, and the power station serving as the rotating reserve capacity of the system is used as the calculation sequence of the power and electricity balance calculation; (2b)根据日负荷图，或轮到该电站参加平衡计算时的余负荷图，以逐次切负荷法作为电力电量平衡计算方法，计算得到区域电网可接纳的新能源出力Nb。(2b) According to the daily load diagram, or the surplus load diagram when it is the power station's turn to participate in the balance calculation, the successive load shedding method is used as the power and electricity balance calculation method to calculate the new energy output N b that can be accepted by the regional power grid. 3.根据权利要求1所述的一种提升区域电网分区新能源运行可靠性的方法，其特征在于，所述步骤(3)包括：将计算时段设为季、月、旬、周、或日的时间单位。3. The method for improving the operational reliability of new energy sources in regional power grid partitions according to claim 1, wherein the step (3) comprises: setting the calculation period as season, month, ten days, week, or day time unit.
CN201911152468.1A 2019-11-22 2019-11-22 A method for improving the operational reliability of new energy sources in regional power grids Active CN111211577B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201911152468.1A CN111211577B (en) 2019-11-22 2019-11-22 A method for improving the operational reliability of new energy sources in regional power grids

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201911152468.1A CN111211577B (en) 2019-11-22 2019-11-22 A method for improving the operational reliability of new energy sources in regional power grids

Publications (2)

Publication Number Publication Date
CN111211577A CN111211577A (en) 2020-05-29
CN111211577B true CN111211577B (en) 2022-04-05

Family

ID=70789154

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201911152468.1A Active CN111211577B (en) 2019-11-22 2019-11-22 A method for improving the operational reliability of new energy sources in regional power grids

Country Status (1)

Country Link
CN (1) CN111211577B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112800625B (en) * 2021-02-08 2022-09-20 国电南瑞科技股份有限公司 Method and system for determining full-clean power supply operation boundary of regional power grid

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060072262A1 (en) * 2004-09-28 2006-04-06 American Power Conversion Corporation System and method for allocating power to loads
CN108390415A (en) * 2018-01-30 2018-08-10 中国电力科学研究院有限公司 A kind of regional power grid new energy consumption capacity calculation methods and system
CN108899898A (en) * 2018-07-12 2018-11-27 四川大学 A kind of reactive voltage partition method
CN109638838A (en) * 2019-01-21 2019-04-16 广东电网有限责任公司 The recognition methods of power grid key sections, device and electronic equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060072262A1 (en) * 2004-09-28 2006-04-06 American Power Conversion Corporation System and method for allocating power to loads
CN108390415A (en) * 2018-01-30 2018-08-10 中国电力科学研究院有限公司 A kind of regional power grid new energy consumption capacity calculation methods and system
CN108899898A (en) * 2018-07-12 2018-11-27 四川大学 A kind of reactive voltage partition method
CN109638838A (en) * 2019-01-21 2019-04-16 广东电网有限责任公司 The recognition methods of power grid key sections, device and electronic equipment

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
Static Sensitivity Analysis Method of Integrated Energy System Based on Power Flow Model;Bo ZHAO;《2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)》;20181220;全文 *
新能源协调控制方法研究及在吉林电网的应用;高重晖;《吉林电力》;20181031;全文 *
采用动态风险管理方法的水电站短期优化调度;刘红岭;《中国电机工程学报》;20120705;全文 *

Also Published As

Publication number Publication date
CN111211577A (en) 2020-05-29

Similar Documents

Publication Publication Date Title
CN109245183A (en) A kind of honourable permeability area power grid peak regulating method of height based on load control system
CN111245026B (en) Virtual power plant regulation and control method, system and equipment
CN109742812A (en) A source-load-storage coordination scheduling method to improve new energy consumption
CN113644670B (en) A method and system for optimal configuration of energy storage capacity
CN109390981B (en) Combined operation control method of sending-end power grid units with new energy participating in power balance
CN109103893A (en) A kind of cluster temperature control load participates in the auxiliary frequency modulation method of power grid AGC
CN110137981B (en) A Consensus Algorithm Based Distributed Energy Storage Aggregator AGC Method
CN108879657B (en) Optimization method of power and electricity balance based on wind power capacity reliability
CN105427017B (en) A short-term planning method for ultra-large-scale power station groups in hydropower enrichment grid
CN114825388A (en) New energy comprehensive consumption scheduling method based on source network load-storage cooperation
CN104113085A (en) Micro-grid energy optimization management method
CN114243794A (en) Quantification of flexibility demand and coordination optimization method of wind-solar-water multi-energy complementary system
CN107302231A (en) A kind of small hydropower system accesses the random economic load dispatching method of two targets of power network
CN114301081A (en) Micro-grid optimization method considering energy storage life loss and demand response of storage battery
CN111211577B (en) A method for improving the operational reliability of new energy sources in regional power grids
CN111211576B (en) Calculation method of new energy carrying capacity of regional power grid considering energy storage
CN116706869A (en) Prediction method and device for supply and demand balance scene of regional power grid
CN116417997B (en) Large-scale new energy power grid system adjustment power generation curve smoothing method considering standby problem
CN111404195B (en) Intelligent gateway-based scheduling method for microgrid with distributed power supply
CN110943452B (en) A method for optimal scheduling of power system
CN116760025B (en) Risk scheduling optimization method and system for electric power system
CN109066769A (en) Wind-powered electricity generation, which totally disappeared, receives lower virtual plant internal resource dispatch control method
CN111342501A (en) Reactive power control method for microgrid with distributed power supply
CN109713715A (en) A kind of hot stored electric heating load control method based on mixed integer dynamic optimization
CN110932301B (en) Method for improving wind power acceptance capacity based on participation of battery energy storage

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB03 Change of inventor or designer information

Inventor after: Li Qiang

Inventor after: Sun Xin

Inventor after: Wang Jianbo

Inventor after: Liu Hongling

Inventor after: Rao Yufei

Inventor after: Li Chaohui

Inventor after: Yang Haijing

Inventor after: Wei Hanbing

Inventor after: Yu Linlin

Inventor after: Teng Weijun

Inventor after: Liu Wei

Inventor before: Rao Yufei

Inventor before: Sun Xin

Inventor before: Wang Jianbo

Inventor before: Liu Hongling

Inventor before: Li Qiang

Inventor before: Li Chaohui

Inventor before: Yang Haijing

Inventor before: Wei Hanbing

Inventor before: Yu Linlin

Inventor before: Teng Weijun

Inventor before: Liu Wei

CB03 Change of inventor or designer information
TA01 Transfer of patent application right

Effective date of registration: 20210325

Address after: No.85, Songshan South Road, Erqi District, Zhengzhou City, Henan Province

Applicant after: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID HENAN ELECTRIC POWER Co.

Applicant after: NORTH CHINA University OF WATER RESOURCES AND ELECTRIC POWER

Applicant after: Chongqing University

Address before: 450052 No. 85 South Songshan Road, 27 District, Henan, Zhengzhou

Applicant before: ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID HENAN ELECTRIC POWER Co.

Applicant before: NORTH CHINA University OF WATER RESOURCES AND ELECTRIC POWER

TA01 Transfer of patent application right
GR01 Patent grant
GR01 Patent grant